feat(hf): add support for repository types

- add support for repository types in HF Transfer utility
- add dequantize_gguf.py script
- improve layout of HF Upload window

src/AutoGGUF.py

@@ -313,38 +313,56 @@ def __init__(self, args: List[str]) -> None:
         self.hf_upload_dialog.setFixedWidth(500)
         self.hf_upload_layout = QVBoxLayout()
 
+        # Form layout for inputs
+        form_layout = QFormLayout()
+
         # Repo input
-        repo_layout = QHBoxLayout()
         self.hf_repo_input = QLineEdit()
-        repo_layout.addWidget(QLabel("Repository:"))
-        repo_layout.addWidget(self.hf_repo_input)
-        self.hf_upload_layout.addLayout(repo_layout)
+        form_layout.addRow("Repository:", self.hf_repo_input)
 
         # Remote path input
-        remote_path_layout = QHBoxLayout()
         self.hf_remote_path_input = QLineEdit()
-        remote_path_layout.addWidget(QLabel("Remote Path:"))
-        remote_path_layout.addWidget(self.hf_remote_path_input)
-        self.hf_upload_layout.addLayout(remote_path_layout)
+        form_layout.addRow("Remote Path:", self.hf_remote_path_input)
 
         # Local file/folder input
         local_path_layout = QHBoxLayout()
         self.hf_local_path_input = QLineEdit()
         local_path_button = QPushButton("Browse")
         local_path_button.clicked.connect(self.browse_local_path)
-        local_path_layout.addWidget(QLabel("Local Path:"))
         local_path_layout.addWidget(self.hf_local_path_input)
         local_path_layout.addWidget(local_path_button)
-        self.hf_upload_layout.addLayout(local_path_layout)
+        form_layout.addRow("Local Path:", local_path_layout)
+
+        self.hf_upload_layout.addLayout(form_layout)
 
         # Upload type (file or folder)
+        upload_type_group = QGroupBox("Upload Type")
+        upload_type_layout = QHBoxLayout()
         self.upload_type_group = QButtonGroup()
         self.upload_type_file = QRadioButton("File")
         self.upload_type_folder = QRadioButton("Folder")
         self.upload_type_group.addButton(self.upload_type_file)
         self.upload_type_group.addButton(self.upload_type_folder)
-        self.hf_upload_layout.addWidget(self.upload_type_file)
-        self.hf_upload_layout.addWidget(self.upload_type_folder)
+        upload_type_layout.addWidget(self.upload_type_file)
+        upload_type_layout.addWidget(self.upload_type_folder)
+        upload_type_group.setLayout(upload_type_layout)
+        self.hf_upload_layout.addWidget(upload_type_group)
+
+        # Repo type (dataset/space/model)
+        repo_type_group = QGroupBox("Repository Type")
+        repo_type_layout = QHBoxLayout()
+        self.repo_type_group = QButtonGroup()
+        self.repo_type_model = QRadioButton("Model")
+        self.repo_type_dataset = QRadioButton("Dataset")
+        self.repo_type_space = QRadioButton("Space")
+        self.repo_type_group.addButton(self.repo_type_model)
+        self.repo_type_group.addButton(self.repo_type_dataset)
+        self.repo_type_group.addButton(self.repo_type_space)
+        repo_type_layout.addWidget(self.repo_type_model)
+        repo_type_layout.addWidget(self.repo_type_dataset)
+        repo_type_layout.addWidget(self.repo_type_space)
+        repo_type_group.setLayout(repo_type_layout)
+        self.hf_upload_layout.addWidget(repo_type_group)
 
         # Upload button
         upload_button = QPushButton("Upload")
@@ -1438,6 +1456,14 @@ def transfer_to_hf(self) -> None:
             if remote_path:
                 command.append(remote_path)
 
+            # Add repo type argument if selected
+            if self.repo_type_model.isChecked():
+                command.append("--repo-type=model")
+            elif self.repo_type_dataset.isChecked():
+                command.append("--repo-type=dataset")
+            elif self.repo_type_space.isChecked():
+                command.append("--repo-type=space")
+
             logs_path = self.logs_input.text()
             ensure_directory(logs_path)
 

src/dequantize_gguf.py

@@ -0,0 +1,105 @@
+import argparse
+import json
+import sys
+from pathlib import Path
+
+import numpy as np
+import torch
+from safetensors.torch import save_file
+
+import gguf
+
+
+def dequantize_tensor(tensor):
+    if tensor.tensor_type in [
+        gguf.GGMLQuantizationType.F32,
+        gguf.GGMLQuantizationType.F16,
+        gguf.GGMLQuantizationType.BF16,
+    ]:
+        return np.array(tensor.data)
+    else:
+        return tensor.data.astype(np.float32)
+
+
+def gguf_to_safetensors(gguf_path, safetensors_path, metadata_path=None):
+    try:
+        reader = gguf.GGUFReader(gguf_path)
+    except Exception as e:
+        print(f"Error reading GGUF file: {e}", file=sys.stderr)
+        sys.exit(1)
+
+    tensors = {}
+    metadata = {}
+
+    for tensor in reader.tensors:
+        try:
+            dequantized_data = dequantize_tensor(tensor)
+            tensors[tensor.name] = torch.from_numpy(
+                dequantized_data.reshape(tuple(reversed(tensor.shape)))
+            )
+        except Exception as e:
+            print(f"Error processing tensor {tensor.name}: {e}", file=sys.stderr)
+            continue
+
+    for field_name, field in reader.fields.items():
+        if field.data:
+            metadata[field_name] = field.parts[field.data[0]].tolist()
+
+    try:
+        save_file(tensors, safetensors_path)
+    except Exception as e:
+        print(f"Error saving SafeTensors file: {e}", file=sys.stderr)
+        sys.exit(1)
+
+    decoded_metadata = {}
+    for key, value in metadata.items():
+        if isinstance(value, list) and all(isinstance(item, int) for item in value):
+            decoded_value = ""
+            for item in value:
+                if 48 <= item <= 57:
+                    decoded_value += str(item - 48)
+                elif 32 <= item <= 126:
+                    decoded_value += chr(item)
+                else:
+                    decoded_value += str(item)
+            decoded_metadata[key] = decoded_value
+        else:
+            decoded_metadata[key] = value
+
+    if metadata_path:
+        try:
+            with open(metadata_path, "w") as f:
+                json.dump(decoded_metadata, f, indent=4)
+        except Exception as e:
+            print(f"Error saving metadata file: {e}", file=sys.stderr)
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Convert GGUF to SafeTensors format")
+    parser.add_argument("gguf_path", type=str, help="Path to the input GGUF file")
+    parser.add_argument(
+        "safetensors_path", type=str, help="Path to save the SafeTensors file"
+    )
+    parser.add_argument(
+        "--metadata_path",
+        type=str,
+        help="Optional path to save metadata as a JSON file",
+    )
+
+    args = parser.parse_args()
+
+    gguf_path = Path(args.gguf_path)
+    safetensors_path = Path(args.safetensors_path)
+    metadata_path = Path(args.metadata_path) if args.metadata_path else None
+
+    if not gguf_path.exists():
+        print(f"Error: GGUF file '{gguf_path}' does not exist.", file=sys.stderr)
+        sys.exit(1)
+
+    print(f"Converting {gguf_path} to {safetensors_path}")
+    gguf_to_safetensors(gguf_path, safetensors_path, metadata_path)
+    print("Conversion complete.")
+
+
+if __name__ == "__main__":
+    main()